Counting 3,834 Big Data & Machine Learning Frameworks, Toolsets, and Examples...
Suggestion? Feedback? Tweet @stkim1

Note: This repository is no longer maintained.

Adversarial Neural Cryptography in TensorFlow

A Tensorflow Flow implementation of Google Brain's recent paper (Learning to Protect Communications with Adversarial Neural Cryptography.)

Two Neural Networks, Alice and Bob learn to communicate secretly with each other, in presence of an adversary Eve.

Setup

Pre-requisites

  • TensorFlow
  • Seaborn (for plots)
  • Numpy

Usage

First, ensure you have the dependencies installed.

$ pip install -r requirements.txt

To train the neural networks, run the main.py script.

$ python main.py --msg-len 32 --epochs 50

Attribution / Thanks

Citing Code

If you want to cite this code in your work, refer to the following DOI:

DOI

License

MIT

Latest Releases
Tensorflow implementation of Adversarial Neural Cryptography
 Jun. 10 2018
Creating an initial release
 Jun. 10 2018
0.1
 Nov. 23 2017